Lead - Cloud Engineering (AWS / Azure) (Remote)

Job Description: Lead - Cloud Engineering (AWS / Azure)Role Title: Lead - Cloud EngineeringExperience Level: 10+ YearsDomain Focus: Healthcare AI & Cloud InfrastructureLocation: RemoteJob OverviewWe are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.Key ResponsibilitiesCloud Architecture & MigrationLead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.Security & Healthcare ComplianceEnforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.Leadership & Team ManagementManage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.Operations & FinOpsEstablish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.Key RequirementsExperience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).